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embedding-and-probability

Remark about embedding and its probability distribution

embedkgqa

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

ember.js

Ember.js - A JavaScript framework for creating ambitious web applications

emnlp2017-relation-extraction

Context-Aware Representations for Knowledge Base Relation Extraction

emotion

👩‍🎤 CSS-in-JS library designed for high performance style composition

entity-alignments

Curated list related to entity-alignment task

entity-disambiguation

define what entity-disambiguation and related literatures / codes

entity-linking-recent-trends

Recent trends of Entity Linking, Disambiguation, and Representation.

entity_alignment_papers

Must-read papers on entity alignment published in recent years

entryp

entrypoint of this world of (messy) repositories

envrecon

Literatures for environment reconstruction from observed data

enwik

Assorts web-poc of enwik8/9

enzyme

JavaScript Testing utilities for React

eos

A lightweight 3D Morphable Face Model fitting library in modern C++11/14

eslint

A fully pluggable tool for identifying and reporting on patterns in JavaScript

eslint-config-google

ESLint shareable config for the Google JavaScript style guide

estimatie-size-of-hidden-lobbies

eth-sig-util

A collection of functions for signing and verifying data with Ethereum keys.

ethereum-api

Provable API for Ethereum smart contracts

ethereum-studio

Official Ethereum Studio project repository. And IDE specially tailored to make it as simple as possible to onboard new users into the Ethereum ecosystem

ethereumjs-tx

A simple module for creating, manipulating and signing ethereum transactions

ethereumjs-util

A collection of utility functions for Ethereum

ethers.js

Complete Ethereum library and wallet implementation in JavaScript.

ethics

A Report on the Ethics of AI in War

evalnlp

assorted evaluation metrics for NLP

event-driven-stock-prediction-using-deep-learning

A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements

event-embedding-for-better-forecasting

Leveraging current known event embedding skills to increase the accuracy of time-series forecasting

event-study

Measuring the effect of particular event on time-series

explained-visually

explore-graph-datasets

explore minist-like dataset in the Graph representation learning - like cora,